Simulation Engineer Modeler

Sim Well is a global leader in Simulation, Optimization, and Digital Twin solutions. Our experienced team uses advanced analytics and cutting-edge technology to solve our clients' most critical business challenges. With a proven track record across multiple industries, we are committed to driving efficiency and innovation worldwide.

At Sim Well, we are looking for our next world-class team member, someone who thrives on innovation, consistently exceeds expectations, and takes pride in making things happen. Our solutions span a wide array of industries, including supply chain, mining operations, manufacturing, logistics, warehousing, transit, fast food, healthcare, and beyond.

Come join us as we revolutionize operations worldwide through advanced analytics and cutting-edge digital twin technologies.

100% remote – Monday to Friday – Flexible Schedule – Competitive salary to discuss
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• Design and build discrete-event simulation models to represent complex logistics, supply chain, and operational workflows.
• Translate real-world process maps, operational rules, and client requirements into simulation logic.
• Analyze and prepare data to feed simulation inputs; validate model outputs against historical data.
• Run scenario experiments and sensitivity analyses to surface bottlenecks and identify optimization opportunities.
• Create visualizations and present findings clearly to non-technical stakeholders and client leadership.
• Collaborate with data scientists, consultants, and client teams to bridge current-state and future-state operations.
• Document models, assumptions, and deliverables to a high standard.

• This position requires eligibility to obtain and maintain a U.S. government security clearance. Due to the nature of the work and applicable government requirements, applicants must be U.S. citizens.
• Proficiency in at least one discrete-event simulation tool:
  Flex Sim, Any Logic, or equivalent
• Experience modeling logistics, supply chain, or operational workflows
• Ability to translate real-world process maps and operational rules into simulation logic
• Comfortable working with ambiguous or incomplete enterprise data
• Strong written and verbal communication skills — able to present findings to non-technical stakeholders
• Experience in defense, government, or large-scale logistics environments strongly preferred
• Experience with Python a plus (for data pre-processing and scripting)
• Bachelor's degree in Industrial Engineering, Operations Research, Computer Science, or related field

• 100% Remote – Work from home
• Unlimited Flex Time
• Flexible hours
• Competitive salary
• Continuous education
• Medical, Vision, & Dental